AI Ethics & Governance
Top Stories
-
Feature
21 Aug 2026
Data contracts gain urgency as AI tests data foundations
Unreliable data can undercut AI efforts before they deliver meaningful returns. Data contracts help clarify accountability and move quality controls upstream. Continue Reading
By -
Tip
19 Aug 2026
AI sycophancy: When leaders are told what they want to hear
Agreeable AI can reinforce executives' bias in strategic, personnel and investment decisions. Leaders must build decision processes that resist AI sycophancy. Continue Reading
By- Kashyap Kompella, RPA2AI Research
-
Feature
27 Dec 2019
The complex nature of regulating AI
Regulating AI is a difficult task because the technology changes rapidly. Governments must be able to employ preventative regulation to prevent any misuse. Continue Reading
By- Ron Schmelzer, Scalebrate and Exponential Scale
-
Feature
24 Dec 2019
UX defines chasm between explainable vs. interpretable AI
From deep learning to simple code, all algorithms should be transparent. The frameworks of AI interpretability and explainability aim to make machine learning understandable to humans. Continue Reading
-
Feature
12 Dec 2019
AI trends 2020 outlook: More automation, explainability
Top AI trends for 2020 are increased automation to extend traditional RPA, deeper explainable AI with more natural language capacity, and better chips for AI on the edge. Continue Reading
By -
News
06 Dec 2019
AWS, NFL machine learning partnership looks at player safety
A new AWS and NFL partnership aims to use AI and machine learning to reduce the risk of injuries to players. The partnership builds off of the companies' Next Gen Stats agreement. Continue Reading
By -
News
22 Nov 2019
Google Cloud Explainable AI aims to clear up outputs
A new Google product suite enables users to create and deploy more interpretable machine learning models with output visualizations, feature attribution and evaluation tools. Continue Reading
By -
News
14 Nov 2019
Anaheim PD explores facial recognition for law enforcement
Using a facial recognition platform from Veritone, the Anaheim Police Department can more quickly identify suspects captured on camera by comparing photos with booking photos. Continue Reading
By -
Feature
08 Nov 2019
Training data in facial recognition use cases reveals bias
Applications of facial recognition technology show incredible promise in law enforcement and personal privacy, but the risks are holding enterprises back from adoption. Continue Reading
By- Kathleen Walch, Project Management Institute
-
News
10 Oct 2019
As more push for explainable AI, companies add features
As businesses demand more explainable AI, vendors such as IBM and DarwinAI are introducing new features to help break down for business users how AI systems work. Continue Reading
By -
Feature
07 Oct 2019
Government AI strategy includes tech transfer to private sector
The Department of Energy's chief commercialization officer works with the DoE's national laboratories on transferring AI and other technologies to the private sector. Continue Reading
By- Shaun Sutner, Senior News Director
-
Feature
03 Oct 2019
Ethical concerns of AI call growing adoption into question
AI tools are getting easier to use every day, putting powerful tools into the hands of potentially malicious users. The time to think about the ethics of AI advances is now. Continue Reading
By -
News
03 Oct 2019
Energy secretary Rick Perry touts U.S. government AI efforts
The U.S. government is ramping up AI research and development efforts to try to stay ahead of China in both public and private sector AI efforts. Continue Reading
By- Shaun Sutner, Senior News Director
-
Feature
23 Sep 2019
Clashes between AI and data privacy affect model training
Enterprises' lax data rules reveal weaknesses around AI and model training -- particularly machine learning's reliance on unrestrained big data collection. Continue Reading
By- Ron Schmelzer, Scalebrate and Exponential Scale
-
News
19 Sep 2019
Organizations hire ethicists for AI ethical concerns
As organizations wrestle with AI ethical concerns, they need to create AI ethicist roles or develop teams to consider issues around data governance, data privacy and AI ethics. Continue Reading
By -
Feature
16 Sep 2019
Collaborative robots' safety stalls enterprise implementation
Cobots are promising big gains, especially in enterprises utilizing manual labor. However, due to a number of safety concerns, human workers are still at risk. Continue Reading
-
News
28 Aug 2019
Microsoft India AI workshops to upskill government employees
Microsoft India partnered with the government of India to launch a new training program for government employees on AI, data governance and cloud computing. Continue Reading
By -
Feature
28 Aug 2019
Enterprises work toward AI trust and transparency
If ignored, a lack of trust in AI algorithms could diminish user adoption. To remedy this risk, enterprises are working to make their applications more transparent and explainable. Continue Reading
By- Kathleen Walch, Project Management Institute
-
News
09 Aug 2019
IBM interprets machine models with AI Explainability kit
IBM's open source AI Explainability 360 toolkit packages algorithms and training examples to help humans better understand the decision-making process of machine learning models. Continue Reading
-
News
08 Aug 2019
Enterprises should start developing an AI ethics framework
As enterprises begin to deploy AI, they should focus on AI and ethics issues, as well as data privacy, and begin to create policies and guidelines around them. Continue Reading
By -
Feature
01 Aug 2019
Use of AI in government makes agencies smarter
Government agencies are starting to embrace some of the same AI technologies that typical enterprises use, and many are finding increased efficiencies along the way. Continue Reading
By- Kathleen Walch, Project Management Institute
-
Feature
31 Jul 2019
AI in law enforcement is growing, but needs work
AI for police includes numerous different analytics, machine learning and natural language processing technologies, including facial recognition and automated transcription tools. Continue Reading
By -
Feature
18 Jul 2019
Enterprise consumer relationships are building trust in AI
Transparency is an increasingly important component of consumer trust. If you want to win over consumers whose data is being collected, start with explainability and collaboration. Continue Reading
By- Scott Robinson, New Era Technology
-
Feature
16 Jul 2019
How AI in physical security makes public places safer
Deep learning-based tools are increasingly finding a home in physical security to enhance the protection of real-world assets and make public spaces safer. Continue Reading
By- Kathleen Walch, Project Management Institute
-
Feature
11 Jul 2019
AI in the legal industry focuses on augmenting research
From billable time invoice generation to patent attribute data mining, the implementation of AI in law firms has aided in reducing low-value, time-consuming paralegal work. Continue Reading
By- Ron Schmelzer, Scalebrate and Exponential Scale
-
News
27 Jun 2019
Use of AI in government still lags
Adoption of AI in government might lag behind the business world, but some agencies within the government hope to make more use of AI. Continue Reading
By -
News
26 Jun 2019
Working toward explainable AI
Many constituencies are on a push toward explainable AI algorithms, as AI technologies become more widespread, powerful and relied upon than ever before. Continue Reading
By -
Feature
12 Jun 2019
How data privacy and marketing coexist when influencing the public
The author of a new book on the intersection of advertising and marketing with AI and data privacy talks about influencing the public with technology. Continue Reading
By -
Feature
29 May 2019
Human rights advocate talks GDPR, AI and data privacy laws
Human rights advocate Bjørn Stormorken talks about the importance of data privacy laws, and why stronger laws and more data literacy are necessary today. Continue Reading
By -
Feature
16 Apr 2019
AI bias, for good or ill
Bias in AI algorithms can produce harmful results, but it can also help train models. This third part of a three-part series on AI ethics explains the pros and cons of AI bias. Continue Reading
By -
Feature
09 Apr 2019
How to address the hidden risks of algorithmic decision making
From biased customer interactions to harmful treatment recommendations, some risks of automated decisions have yet to be resolved. A Wharton School professor has a way out. Continue Reading
By -
Feature
08 Apr 2019
3 ways to create an AI ethics framework for responsible tech
AI can often reflect the biases and limits of its human developers. Experts say diversity, review boards and a strong AI ethics framework will lead the way toward ethical AI. Continue Reading
-
Feature
29 Mar 2019
Address anonymity and data privacy in chatbot security
A key to successful enterprise chatbot security is to program your chatbot to recognize personal or sensitive information and treat it accordingly. Continue Reading
-
Feature
12 Mar 2019
AI in accounting boosts compliance and fraud detection
Accounting and finance teams are using AI tools to speed document review and other error-prone processes, which gives a boost to fraud detection and compliance efforts. Continue Reading
By- Kathleen Walch, Project Management Institute
-
Feature
27 Feb 2019
Trump's AI executive order glosses over data privacy, funding
Trump released his AI executive order two weeks ago, and researchers are continuing to analyze its potential impact on the industry. One thing is certain: AI is about to change. Continue Reading
-
Feature
14 Feb 2019
Interpretable AI has benefits beyond compliance
Making AI models more interpretable has a wide range of benefits and shouldn't just be thought of as a compliance exercise, experts at the H2O World conference said. Continue Reading
-
Feature
11 Feb 2019
AI regulation stirs as unrestricted AI booms in China
Governments need to start regulating AI as the technology advances, experts say in part one of a three-part series on AI ethics issues around regulation, control and bias. Continue Reading
By -
Feature
18 Dec 2018
Explainability is no solution to problem of bias in AI
Explainability has been touted as a solution to the problem of biased AI models, but experts say that approach only gets you part of the way to bias-free applications. Continue Reading
By -
Feature
28 Nov 2018
Compliance.ai uses Tibco Cloud Mashery for API mastery
Compliance.ai, a compliance and regulatory management platform vendor, uses Tibco Mashery to help manage and compile many different APIs and data sources. Continue Reading
By -
Feature
14 Aug 2018
Algorithmic bias top problem enterprises must tackle
No enterprise today would roll out an obviously biased AI tool, but many remain unaware of the risks of unconscious bias in algorithms, which can produce equally dangerous results. Continue Reading
By -
Feature
30 May 2018
Addressing the ethical issues of AI is key to effective use
Enterprises must confront the ethical implications of AI use as they increasingly roll out technology that has the potential to reshape how humans interact with machines. Continue Reading
By- Kathleen Walch, Project Management Institute
-
Podcast
15 May 2018
Avoid bias in algorithms for best AI results
In this podcast, we examine leading thoughts on the problem of AI bias and how to mitigate some of the most common sources of unfair treatment of users of AI applications. Continue Reading
By -
Feature
25 Apr 2018
GDPR regulations put premium on transparent AI
As the EU's GDPR regulations go into effect, enterprises must focus on building transparency in AI applications so that algorithms' decisions can be explained. Continue Reading
-
Podcast
13 Apr 2018
CTO Simon Crosby explains edge intelligence, talks AI uses and risks
Edge intelligence is the newborn child of edge analytics and machine learning. In this podcast, CTO Simon Crosby explains the tech and discusses AI uses, data breaches and more. Continue Reading
-
Feature
02 Apr 2018
How to keep your implementation of AI free from algorithm bias
When implementing AI, it's important to focus on the quality of training data and model transparency in order to avoid potentially damaging bias in models. Continue Reading
By -
News
02 Mar 2018
Expert panel warns developers to beware of AI bias
Despite new development tools to build AI applications, developers must be wary of bias creeping into their systems. Continue Reading
-
Feature
15 Feb 2018
Big data throws bias in machine learning data sets
AI holds massive potential for good, but it also amplifies negative outcomes if data scientists don't recognize data biases and correct them in machine learning data sets. Continue Reading